query-token-info
by binancequery-token-info is a Binance Web3 skill for searching tokens by keyword, contract address, or supported chain. It returns metadata, social links, market stats, holders, liquidity, and K-line data for fast research and query-token-info for Data Analysis.
This skill scores 74/100, which means it is listable and likely useful for agents that need token lookup, metadata, market data, or k-line charts. Directory users get enough concrete workflow detail to decide it is worth installing, but they should expect some onboarding friction because the skill lacks a quick-start install command and has limited progressive disclosure beyond the API sections.
- Strong triggerability: the frontmatter explicitly says to use it for token searches, prices, market data, and candlestick charts.
- Broad operational coverage: it includes search, metadata, real-time market data, and K-Line chart retrieval in one skill.
- Good repository substance: the SKILL.md is substantial, has valid frontmatter, headings, and code fences rather than placeholder content.
- No install command or supporting files are provided, so adoption may require manual setup or reading the SKILL.md directly.
- The description is very short and the repository has little signaling around scope, constraints, or workflow steps, which can increase guesswork for agents.
Overview of query-token-info skill
query-token-info is a Binance Web3 skill for looking up token information from a keyword, contract address, or supported chain. It is most useful when you need to move from “what is this token?” to actionable data fast: metadata, social links, live market stats, holders, liquidity, and K-line chart data. If you are evaluating a token, building a market watch workflow, or doing query-token-info for Data Analysis, this skill gives you a structured way to fetch the right fields instead of guessing at a generic prompt.
What the query-token-info skill is best at
This skill fits users who need token discovery and token intelligence in one flow. The strongest use cases are token search, project research, market checks, and chart-oriented analysis. It is especially helpful when a token may be known by name, symbol, or contract address and you want a single workflow that can resolve identity before pulling market data.
Where it is most useful
Use query-token-info when the output needs to support a decision: comparing tokens, verifying a contract, checking whether a project has social presence, or inspecting recent price action. It is a better fit than a plain prompt when you want consistent retrieval across supported chains and a repeatable path from search to metadata to market context.
Main limitations to know
The skill is focused on supported-chain token lookup, not broad blockchain analytics, wallet tracing, or contract auditing. It is not the right tool if you need deep on-chain forensics, custom historical datasets, or unsupported networks. The value comes from fast, structured token querying rather than open-ended research.
How to Use query-token-info skill
Install and verify the skill
Install query-token-info from the Binance skills hub, then confirm the skill is available in your workspace before building prompts around it. After install, read SKILL.md first, then inspect the repository tree for any linked docs or examples. In this repo, the main source is the skill file itself, so the quickest path is to understand the API sections and supported parameters directly from skills/binance-web3/query-token-info/SKILL.md.
Turn a rough goal into a usable prompt
A strong query-token-info usage request includes three parts: what token you want, how to identify it, and what output you need. For example, instead of “look up PEPE,” ask for “query token info for PEPE on BSC by contract address, then return metadata, current price, 24h volume, liquidity, and K-line summary.” That level of specificity helps the skill choose the right lookup path and reduces ambiguity between duplicate names or symbols.
Read the repo in the right order
Start with the overview and use-case sections, then move to the API sections for token search, metadata, dynamic data, and K-line data. The practical detail lives in the request parameters, chain support table, and response fields. If you are using query-token-info for Data Analysis, pay special attention to the field names and chain IDs so you can map output cleanly into your own pipeline or follow-on prompt.
Workflow tips that improve output quality
Use contract address when you have it, because it is the most reliable identifier. If you only have a symbol, specify chain and ask for disambiguation across matches. For analysis tasks, request the exact metrics you need instead of “everything,” such as market cap, holders, liquidity, and recent OHLCV windows. If you need chart interpretation, ask for K-line data plus a concise read on trend and volatility rather than raw candles only.
query-token-info skill FAQ
Is query-token-info good for beginners?
Yes, if your goal is simple token lookup or market checking. Beginners usually get better results when they provide a token name, symbol, or contract address and ask for a small set of fields. The skill is less beginner-friendly when the task is vague, such as “analyze this coin,” because the output depends on how well the token is identified.
How is this different from a normal prompt?
A normal prompt may describe what you want, but query-token-info is designed around a concrete lookup workflow with supported chains and defined token fields. That makes it more reliable for repeatable token research and query-token-info install decisions, especially when you care about metadata consistency, live market data, or chart data.
When should I not use this skill?
Do not use query-token-info if you need full portfolio analytics, wallet behavior, transaction tracing, or unsupported chain coverage. It is also not the best fit if you only need a casual explanation of a well-known token and do not need live data. In those cases, a broader research prompt or another Web3 skill may be more appropriate.
Does it work well for query-token-info for Data Analysis?
Yes, if your analysis depends on structured token fields such as price, volume, holders, liquidity, and K-line data. It works best when you already know the questions you want to answer and can request those fields explicitly. The more precise your analysis frame, the more useful the output becomes.
How to Improve query-token-info skill
Give the skill a precise token identity
The biggest quality jump comes from specifying the token by contract address and chain whenever possible. If you only have a name or symbol, include the intended chain and ask for match disambiguation. This avoids false positives and makes the query-token-info skill more dependable in crowded token namespaces.
Ask for the exact data slice you need
Do not ask for generic “token info” if your goal is a trading or research decision. Ask for the fields that matter: metadata, social links, creator address, price trend, volume, holders, liquidity, market cap, or K-line OHLCV. Narrow requests usually produce cleaner outputs and make it easier to compare tokens side by side.
Iterate from lookup to interpretation
A good query-token-info workflow is: identify the token, fetch the live data, then ask a second prompt to interpret what changed. For example, after retrieving price and liquidity, ask whether the trend suggests accumulation, volatility, or a short-term breakout pattern. This keeps raw retrieval separate from analysis and improves the usefulness of query-token-info for Data Analysis.
Watch for unsupported or ambiguous cases
If the token is on an unsupported chain, the skill will not be a reliable fit. If multiple tokens share the same symbol, name-only lookup may return noisy matches, so refine by contract or chain. When results look incomplete, improve the input rather than forcing the skill to infer missing context.